diff --git a/requirements.txt b/requirements.txt
index 0eb3fed..d9cca4c 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,9 +1,9 @@
-aiohttp==3.11.16
-anyio==4.4.0
-lib==4.0.0
-nltk==3.9.1
-psutil==6.0.0
-pycryptodome==3.20.0
-Requests==2.32.4
-transformers==4.50.0
-utils==1.0.2
+aiohttp~=3.11
+anyio~=4.4
+lib~=4.0
+nltk~=3.9
+psutil~=6.0
+pycryptodome~=3.20
+Requests~=2.32
+transformers~=4.52
+utils~=1.0
diff --git a/workers/hello_world/README.md b/workers/hello_world/README.md
index 8ae5012..a523e10 100644
--- a/workers/hello_world/README.md
+++ b/workers/hello_world/README.md
@@ -56,7 +56,7 @@ import dataclasses
 import random
 from typing import Dict, Any
 
-from transformers import AutoTokenizer # used to count tokens in a prompt
+from transformers import OpenAIGPTTokenizer # used to count tokens in a prompt
 import nltk # used to download a list of all words to generate a random prompt and benchmark the LLM model
 
 from lib.data_types import ApiPayload
@@ -65,7 +65,7 @@ nltk.download("words")
 WORD_LIST = nltk.corpus.words.words()
 
 # you can use any tokenizer that fits your LLM. `openai-gpt` is free to use and is a good fit for most LLMs
-tokenizer = AutoTokenizer.from_pretrained("openai-community/openai-gpt")
+tokenizer = OpenAIGPTTokenizer.from_pretrained("openai-gpt")
 
 @dataclasses.dataclass
 class InputData(ApiPayload):
diff --git a/workers/hello_world/data_types.py b/workers/hello_world/data_types.py
index 50ce3bc..0c2a296 100644
--- a/workers/hello_world/data_types.py
+++ b/workers/hello_world/data_types.py
@@ -3,7 +3,7 @@ import random
 import inspect
 from typing import Dict, Any
 
-from transformers import AutoTokenizer
+from transformers import OpenAIGPTTokenizer
 import nltk
 
 from lib.data_types import ApiPayload, JsonDataException
@@ -12,7 +12,7 @@ nltk.download("words")
 WORD_LIST = nltk.corpus.words.words()
 
 # used to count to count tokens and workload for LLM
-tokenizer = AutoTokenizer.from_pretrained("openai-community/openai-gpt")
+tokenizer = OpenAIGPTTokenizer.from_pretrained("openai-gpt")
 
 
 @dataclasses.dataclass
diff --git a/workers/tgi/data_types.py b/workers/tgi/data_types.py
index 699837d..56e0b5b 100644
--- a/workers/tgi/data_types.py
+++ b/workers/tgi/data_types.py
@@ -3,7 +3,7 @@ import random
 import inspect
 from typing import Dict, Any
 
-from transformers import AutoTokenizer
+from transformers import OpenAIGPTTokenizer
 import nltk
 
 from lib.data_types import ApiPayload, JsonDataException
@@ -11,7 +11,7 @@ from lib.data_types import ApiPayload, JsonDataException
 nltk.download("words")
 WORD_LIST = nltk.corpus.words.words()
 
-tokenizer = AutoTokenizer.from_pretrained("openai-community/openai-gpt")
+tokenizer = OpenAIGPTTokenizer.from_pretrained("openai-gpt")
 
 
 @dataclasses.dataclass